Data Analytics

The demand for Data Analysts in government jobs is very high as government organizations are also hiring data analytics professionals for:

• NITI Aayog – Data-driven policy-making.
• Indian Railways – Predictive maintenance analytics.
• Election Commission of India – Data analysis for voting patterns.
• RBI & SEBI – Fraud detection and financial risk analysis.

Freshers who have graduated from MBA in Data Analytics can start their careers by:

1. Taking internships in data analytics.
2. Completing Google/Microsoft/AWS data certifications for good placements.
3. Working as a Data Analyst before transitioning to Data Scientist roles.
4. Learning Tableau, Power BI and Python to build a strong resume.

The future of MBA in Data Analytics graduate is very bright with more industries integrating AI & Big Data. As per the research, By 2030, 80% of global companies will rely on data-driven decision-making which will help in increasing job demand for analytics professionals in India as well as abroad.

Aligarh Muslim University (AMU) does not admit students to its B.Tech programs through CUET-UG. Instead, admissions are conducted through the AMUEEE (AMU Engineering Entrance Examination). 

AMU offers B.Tech in the following specializations:

• Chemical Engineering

• Civil Engineering

• Computer Engineering

• Electrical Engineering

• Electronics Engineering

• Mechanical Engineering

• Petrochemical Engineering

• Food Technology

Currently, AMU does not offer B.Tech in Data Science. 

The University of Bedfordshire offers an affordable MS in Data Analytics course to international students. The duration of the course is 2 years and first-year tuition fees is around INR 23 L. Applicants must complete a bachelor's degree with a 55% minimum score to study the University of Bedfordshire Data Analytics course. Therefore, the university is a good choice to study MS in Data Analytics in the UK. The table below includes the first-year cost of studying the course at the university:

Dublin Business School offers highly reputed MSc programme in Data Analytics. The programme seeks to address the constantly increasing need for data analytics experts across industries, including those with programming skills, data analysis with related context, and graph technology, which is thought to be an efficient way to support the creation of complex AI applications. 

There are various tools that and software that you will learn during the course which are mentioned below:

• Data Analytics Tools: Python, R, SAS
• Database Management: SQL, NoSQL
• Big Data & Cloud Computing: Hadoop, Apache Spark, AWS
• Machine Learning & AI: TensorFlow, Scikit-Learn
• Data Visualization: Tableau, Power BI
• Business Intelligence (BI) Tools: Google Analytics, Excel

Knowing these tools increases your job prospects and makes you a valuable candidate in the job market.

If you're interested in business decision-making and leadership roles then an MBA in Data Analytics is better. If you prefer coding, statistics, and machine learning, an MSc in Data Science is a better option for you.

With a graduation rate of 47%, your possibilities for a Master degree in Data Science, Big Data Analytics, or MCA are restricted as many colleges require 50% or higher. However several private colleges and distant learning programs provide flexibility.

Colleges and Exams: Lovely Professional University (LPU) offers MCA and M.Sc Data Science (LPUNEST).
Amity University - M.Sc Data Science and MCA (Direct Admission)
MIT-WPU Pune: MCA (Direct/Entrance-Based)
IGNOU - MCA (Distance Mode with No Percentage Barrier)
DY Patil University: MCA, M.Sc. Data Science (Merit-Based)